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Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning
In particular, federated edge learning (FEL) becomes prominent in securing the privacy of data owners by keeping the data locally used to train ML models.
Proof of Federated Learning: A Novel Energy-recycling Consensus Algorithm
However, the separation between the data usufruct and ownership in Blockchain lead to data privacy leakage in model training and verification, deviating from the original intention of federal learning.
Cryptography and Security
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